Machine Learning Model Drift: Predicting Diagnostic Imaging Follow-Up as a Case Example.
Objective: Address model drift in a machine learning (ML) model for predicting diagnostic imaging follow-up using data augmentation with more recent data versus retraining new predictive models.Methods: This institutional review board-approved retrospective study was conducted January 1, 2016, to De...
| Published in: | Journal of the American College of Radiology Vol. 19; no. 10; pp. 1162 - 1170 |
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| Main Authors: | , , , , |
| Format: | research Journal Article |
| Published: |
Elsevier B.V.
Oct2022
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| Online Access: | View this record in EBSCOhost |